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High Speed Nonlinear Interferometric Vibrational Analysis of Lipids by Spectral Decomposition

机译:光谱分解对脂质的高速非线性干涉振动分析

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Unlike other CARS-based (coherent anti-Stokes Raman scattering) spectroscopy techniques, nonlinear interfero-metric vibrational spectroscopy (NIVS) is linear in analyte concentration and has a Raman line shape free of non-resonant background distortions. We use spontaneous Raman scattering as a high accuracy benchmark for NIVS. As a challenging comparison, we examine spectra in the CH stretching region of six lipid samples. Singular value decomposition and reference to an independent chemical assay are used to directly compare NIVS and spontaneous Raman scattering. We demonstrate that NIVS can determine the relative degree of unsaturation in six different lipid samples as accurately as spontaneous Raman spectroscopy, but 200 times faster. A skin tissue sample is mapped out to demonstrate quantitative lipid-protein differentiation with spatial resolution.
机译:与其他基于CARS的(相干反斯托克斯拉曼散射)光谱技术不同,非线性干涉振动光谱(NIVS)的分析物浓度呈线性,并且拉曼线形没有非共振背景失真。我们使用自发拉曼散射作为NIVS的高精度基准。作为具有挑战性的比较,我们检查了六个脂质样品在CH拉伸区的光谱。奇异值分解和参考独立的化学分析方法可直接比较NIVS和自发拉曼散射。我们证明,NIVS可以像自发拉曼光谱法一样准确地确定六个不同脂质样品中的相对不饱和度,但是速度要快200倍。绘制皮肤组织样本以证明具有空间分辨率的定量脂蛋白分化。

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